Alternatives to SGLang

A serving framework for running large language models and multimodal models on your own GPUs. The listings below can replace it for an important use case. Each note says what changes if you switch.

The original

Replacements

Listings that take over the same core job as SGLang.

  • vLLM

    High-throughput, memory-efficient inference and serving engine for LLMs.

    vLLM is an Apache-2.0 high-throughput, memory-efficient serving engine for Linux, aimed at developers deploying models on appropriate GPU hardware, much like SGLang.

  • Xinference

    An open-source inference server for running language, speech and multimodal models through one API.

    Xinference serves language, speech and multimodal models behind one GPT-compatible API, and runs on a laptop or scales to servers on macOS and Linux.

  • LocalAI

    Serve language, image and speech models on your own hardware.

    LocalAI is MIT-licensed and serves language, image and speech models with compatible APIs for common AI services, rather than focusing on high-throughput GPU serving.

  • TabbyAPI

    A lightweight, OpenAI-compatible API server for running ExLlama-format language models on your own hardware.

    TabbyAPI is a lightweight OpenAI-compatible server that only serves ExLlama-format models, trading SGLang's broad model support for a smaller footprint.

  • llama.cpp

    The C++ engine most local AI apps are built on, running language models on ordinary hardware.

    llama.cpp runs quantised models as a single binary with CPU and GPU hybrid inference and a built-in server, suiting ordinary hardware rather than GPU server fleets.

  • Ollama

    The simplest way to pull down an open language model and run it on your own machine, from one command or a desktop app.

    Ollama downloads and runs models with one command and serves a localhost REST API, targeting single machines on Windows, macOS and Linux rather than GPU servers.

Also worth comparing

These listings name SGLang as their own alternative, so the relationship runs both ways.

  • GPUStack

    An open-source GPU cluster manager for serving AI models with vLLM and SGLang on your own hardware.

    SGLang is an open-source high-throughput serving framework for language and multimodal models, used directly rather than through GPUStack's cluster manager.

Similar software

Related functionality, not a direct replacement.